MétaCan
Menu
Back to cohort

CMOS Camera-Type THz Compact Antenna Test Range for Far-Field Radiation Pattern Analysis

2020· article· en· W3139235062 on OpenAlexfundno aff
Robin Zatta, Vishal Jagtap, Janusz Grzyb, Ullrich R. Pfeiffer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTerahertz technology and applications
Canadian institutionsnot available
FundersCanadian Meteorological and Oceanographic Society
KeywordsDirectivityTerahertz radiationOpticsRadiation patternAntenna (radio)PhysicsNear and far fieldHorn antennaRadiationComputer scienceTelecommunicationsSlot antenna

Abstract

fetched live from OpenAlex

This paper presents a CMOS camera-type THz compact antenna test range (CATR) to facilitate a convenient means to measure far-field radiation patterns of transmitters (TXs). For concept validation, we measured the far-field radiation pattern of a 26-dBi 0.852-THz standard gain horn antenna-type TX with known far-field characteristics with the THz CATR. With the help of geometrical multi-frame super-resolution imaging, the directivity determination accuracy achieved at a peak signal-to-noise ratio (PSNR) of 34.8 dB is 0.2 dB. Further, we investigated a THz continuous-wave (CW) photomixer TX with unknown far-field characteristics at 0.852 THz. It emits a higher-order mode far-field radiation pattern, and its directivity is 25.4 dBi, determined at a PSNR of 31.8 dB.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.239
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2020
Admission routes1
Has abstractyes

Explore more

Same topicTerahertz technology and applicationsFrench-language works237,207